Individual Teaching System Baseed On Web Minning

Along with the network development and the popularization, the more peopletend to use Web to obtain information, and it has become one of the important meansof learning. While the current network users can provide basic is the same through asite to different terminal user information sent, and sends the information is the same,this service mode is single, the site is also very single, but facing the user groupthrough the user is differ in thousands of ways, more users hope can obtaindifferentiated, personalized service, and the current WWW increasing information alsoenables personalized service has become very urgent and important. The schoolteaching, the student is differ in thousands of ways, so the current teaching system tobe badly in need of change, for students to provide personalized service, therefore,the teaching system development and design has been imminent.In view of the current network teaching system needs to provide service reform,in view of the current study on personalized web teaching service needs, in this thesis,to be combined with the data analysis and mining technology in detail, and theapplication in teaching system research, development and design. The first is to makestudents of relevant data to s collection and processing, and then use the effectivecalculation method, based on the improved Apriori algorithm, based on the studentsaccess to higher frequency path statistics, based on the realization of the associatedpage for personalized recommendation; and then using the fuzzy clustering method,for those interested in and behavioral characteristics of students with this approach issimilar, in order to be able to strengthen the personalization teaching servicepurposes, and then give some examples, and the pages in the form of the show; atthe end of the thesis is to all work carried out a comprehensive summary.